SUAVE.Optimization.Surrogate_Optimization.Surrogate_Optimization Class Reference

Inheritance diagram for SUAVE.Optimization.Surrogate_Optimization.Surrogate_Optimization:

Public Member Functions
def	__defaults__ (self)
def	build_surrogate (self)
def	iterative_optimization (self)
Public Member Functions inherited from SUAVE.Core.Data.Data
def	__getattribute__ (self, k)
def	__setattr__ (self, k, v)
def	__delattr__ (self, k)
def	__new__ (cls, *args, **kwarg)
def	typestring (self)
def	dataname (self)
def	__str__ (self, indent='')
def	__init__ (self, *args, **kwarg)
def	__iter__ (self)
def	itervalues (self)
def	values (self)
def	update (self, other)
def	append_or_update (self, other)
def	get_bases (self)
def	append (self, value, key=None)
def	deep_set (self, keys, val)
def	deep_get (self, keys)
def	pack_array (self, output='vector')
def	unpack_array (self, M)
def	do_recursive (self, method, other=None, default=None)

Public Attributes
	sample_plan
	problem
	optimizer
	surrogate_model
	optimization_filename
	number_of_points
	max_iterations

Detailed Description

Takes a SUAVE Optimization problem, builds a surrogate around it, 
    and iteratively finds the optimum of the surrogate, then samples at that point.
    Stops when you hit max_iterations or it converges
    
    Assumptions:
    You're okay with represeting your problem with a surrogate
    
    Source:
    N/A

Member Function Documentation

__defaults__()

def SUAVE.Optimization.Surrogate_Optimization.Surrogate_Optimization.__defaults__

(

self

)

This sets the default values.
    
    Assumptions:
    None
    
    Source:
    N/A
    
    Inputs:
    None
    
    Outputs:
    None
    
    Properties Used:
    None

Reimplemented from SUAVE.Core.Data.Data.

build_surrogate()

def SUAVE.Optimization.Surrogate_Optimization.Surrogate_Optimization.build_surrogate

(

self

)

Builds a surrogate for the problem
    
    Assumptions:
    None
    
    Source:
    N/A
    
    Inputs:
    None
    
    Outputs:
    None
    
    Properties Used:
    None

iterative_optimization()

def SUAVE.Optimization.Surrogate_Optimization.Surrogate_Optimization.iterative_optimization

(

self

)

Optimizes iteratively 
    
    Assumptions:
    None
    
    Source:
    N/A
    
    Inputs:
    None
    
    Outputs:
    output_real        [float]
    surrogate_problem  [surrogate]
    
    Properties Used:
    None

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The documentation for this class was generated from the following file:

• /Users/emiliobotero/Dropbox/SUAVE/SUAVE/trunk/SUAVE/Optimization/Surrogate_Optimization.py